mirror of https://github.com/alibaba/MNN.git
93 lines
3.7 KiB
Plaintext
Executable File
93 lines
3.7 KiB
Plaintext
Executable File
//
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// MetalPooling.mm
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// MNN
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//
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// Created by MNN on 2019/01/30.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#import "backend/metal/MetalPooling.hpp"
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#import "backend/metal/MNNMetalContext.h"
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#import "core/Macro.h"
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#import "backend/metal/MetalBackend.hpp"
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#if MNN_METAL_ENABLED
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namespace MNN {
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MetalPooling::MetalPooling(Backend *backend, const Pool *pooling)
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: Execution(backend),
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mGlobal(pooling->isGlobal()),
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mPoolType(pooling->type()),
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mKernelX(pooling->kernelX()),
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mKernelY(pooling->kernelY()),
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mStrideX(pooling->strideX()),
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mStrideY(pooling->strideY()),
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mPadX(pooling->padX()),
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mPadY(pooling->padY()) {
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// nothing to do
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}
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ErrorCode MetalPooling::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto backend = static_cast<MetalBackend *>(this->backend());
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auto context = (__bridge MNNMetalContext *)backend->context();
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auto input = inputs[0], output = outputs[0];
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int strideWidth = mStrideX;
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int strideHeight = mStrideY;
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int padWidth = mPadX;
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int padHeight = mPadY;
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int kernelWidth = (int)MIN(mKernelX, input->width());
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int kernelHeight = (int)MIN(mKernelY, input->height());
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if (mGlobal) {
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kernelWidth = (int)input->width();
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kernelHeight = (int)input->height();
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strideWidth = (int)input->width();
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strideHeight = (int)input->height();
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padWidth = 0;
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padHeight = 0;
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}
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mConstBuffer = [context newDeviceBuffer:11 * sizeof(int) access:CPUWriteOnly];
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((int *)mConstBuffer.contents)[0] = input->width();
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((int *)mConstBuffer.contents)[1] = input->height();
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((int *)mConstBuffer.contents)[2] = output->width();
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((int *)mConstBuffer.contents)[3] = output->height();
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((int *)mConstBuffer.contents)[4] = UP_DIV(output->channel(), 4) * output->batch();
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((int *)mConstBuffer.contents)[5] = kernelWidth;
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((int *)mConstBuffer.contents)[6] = kernelHeight;
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((int *)mConstBuffer.contents)[7] = strideWidth;
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((int *)mConstBuffer.contents)[8] = strideHeight;
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((int *)mConstBuffer.contents)[9] = padWidth;
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((int *)mConstBuffer.contents)[10] = padHeight;
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auto ow = output->width(), oh = output->height(), slice = UP_DIV(output->channel(), 4) * output->batch();
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mLocal = MTLSizeMake(8, 8, 4);
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mGroup = MTLSizeMake(UP_DIV(ow, 8), (NSUInteger)UP_DIV(oh, 8), (NSUInteger)UP_DIV(slice, 4));
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mPipeline = [context pipelineWithName:(mPoolType == PoolType_MAXPOOL) ? @"pooling_max" : @"pooling_avg"];
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return NO_ERROR;
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}
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ErrorCode MetalPooling::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto backend = static_cast<MetalBackend *>(this->backend());
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auto context = (__bridge MNNMetalContext *)backend->context();
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auto input = inputs[0], output = outputs[0];
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auto encoder = [context encoder];
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[encoder setComputePipelineState:mPipeline];
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[encoder setBuffer:(__bridge id<MTLBuffer>)(void *)input->deviceId() offset:0 atIndex:0];
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[encoder setBuffer:(__bridge id<MTLBuffer>)(void *)output->deviceId() offset:0 atIndex:1];
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[encoder setBuffer:mConstBuffer offset:0 atIndex:2];
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[encoder dispatchThreadgroups:mGroup threadsPerThreadgroup:mLocal];
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[encoder endEncoding];
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MNN_PRINT_ENCODER(context, encoder);
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return NO_ERROR;
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}
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class MetalPoolingCreator : public MetalBackend::Creator {
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public:
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virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend) const {
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return new MetalPooling(backend, op->main_as_Pool());
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}
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};
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REGISTER_METAL_OP_CREATOR(MetalPoolingCreator, OpType_Pooling);
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} // namespace MNN
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#endif /* MNN_METAL_ENABLED */
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